Direct Lithium Extraction (DLE) from brine solution using electrochemical method

The demand for lithium-ion batteries (LIBs) is on the rise, mainly due to increased interest in portable devices, electric vehicles and grid-storage applications. The key component in such rechargeable batteries is lithium, which is trivial from the name itself as well, as lithium-ions shuttle back and forth during charging/discharging process. Consequently, lithium production demand has increased significantly as well over the past few decades. Lithium is usually extracted from minerals or water sources etc. Due to the limited availability of minerals and high-production cost.

Semantic Search and Visualisation using Machine Learning and Natural Language Processing

This project tackles the issue of knowledge incompleteness and lack of domain coverage in resume and job posting matching caused by the exploitation of domain-general resources. A variety of co-operative semantic/ontological resources will be used to filter out irrelevant resumes. A two-way (candidate to job and job to candidate) semantic-based automatic suitability ranking is proposed. The suitability is determined by the semantic distance of resumes and job postings, evaluated by their word embeddings.

Development of tools for high performance biospecimen collection to serve COVID-19 pandemic

The aim of this research and development project is to design and develop new tools using 3D printing and injection molding technologies for reliable collection of biospecimen for the use with diagnostic kits and point-of-care devices capable of diagnosis of COVID-19. The developed sample collection tools will be eventually delivered to Shapetry Labs Inc. to evaluate their clinical and safety performance and to help managing COVID-19.

Development of Resources for a National COVID-19 Information Website for Families of Children with Neurodevelopmental Disabilities

This research project will both contribute to, and examine the impacts of, the Autism & Intellectual-Developmental Disabilities National Resource and Exchange Network (AIDE) COVID-19 website for children with neuro-developmental disability (NDD) and their families, including evaluation for continual quality improvement and determining impact. Directed by the Pacific Autism Family Network, AIDE is a wide-reaching initiative that is nationally and regionally focused in offering information and support to individuals with NDD and their families.

Targeted genetic diagnosis of microbiologically influenced corrosion

Infrastructure corrosion results in considerable annual loss to the oil and gas industry. Corrosion can occur by numerous means; a lesser-well understood cause is due to microbes living and thriving within these systems. This phenomenon is referred to as microbiologically influenced corrosion (MIC). In recent years, it's been subject to an increasing amount of study with the goal of developing mitigation strategies. A major knowledge gap that still thwarts effective mitigation is the specifics of the biological mechanisms that microbes employ to corrode infrastructure.

Up-scalable production of high efficiency perylene diimide (PDI)-based organic light emitting devices using slot die coating methods

With respect to large-area display applications, it is desirable to have not only the active layers but also the electrodes in the OLEDs that can be formed by solution fabrication process. To address the manufacturing challenges of high-performance OLEDs, several scalable techniques such as doctor blading, ink-jet printing, and ultrasonic spray coating have been developed or employed.

Towards disability inclusive COVID-19 policy

Youth with disabilities and their caregivers are disproportionately affected both by the COVID-19 pandemic and the policy measures that are adopted in response. Given the increased risk for this vulnerable population, intentionally planning and co-designing policy to meet the needs of youth with disabilities in emergency preparedness efforts is critical. Unfortunately, there is inadequate data collection and insufficient COVID-19 emergency planning and response for youth with disabilities.

Smart Data Fusion for COVID-19 Patients

In response to the COVID-19 pandemic, tech industry is racing to develop apps as well as wearable devices to help people to trace contacts, to self-assess, and to self-monitor the development of COVID-19 cases. However, these apps and devices work independently of each other, which leave it to users to connect pieces of information to determine risks and to assess possible COVID-19 infection as well as the severity of the condition. Moreover, the data is invaluable for healthcare providers to treat patients and also for COVID-19 research.

Catalytic Heavy Oil Upgrading Using Natural Gas

The proposed project aims at developing new catalytic processes and corresponding catalysts for heavy oil upgrading with the assistance of natural gas. Compared with traditional hydrotreating processes, these new processes provide alternative ways for heavy oil and natural gas utilization, which are economically and environmentally favorable in terms of higher profit margin, lower operating cost, energy consumption and carbon dioxide emission.

Changes in the impact attenuation performance of field-used hockey helmets over time

A hockey helmet should be capable of protecting the user over the helmet’s intended life span. There is currently little evidence quantifying the changes in the impact attenuation performance of field-used hockey helmets over time.
This study will collect a large sample of field-used hockey helmets from the hockey community for impact testing. The sample is expected to include helmets over a large age range.

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